Lifeboat Foundation

And it shreds.

https://youtube.com/watch?v=jNRJkNjSljA

Google’s AutoML project, designed to make AI build other AIs, has now developed a computer vision system that vastly outperforms state-of-the-art-models. The project could improve how autonomous vehicles and next-generation AI robots “see.”

In May 2017, researchers at Google Brain announced the creation of AutoML, an artificial intelligence (AI) that’s capable of generating its own AIs. More recently, they decided to present AutoML with its biggest challenge to date, and the AI that can build AI created a “child” that outperformed all of its human-made counterparts.

By Lindsay Brownell

(CAMBRIDGE, Mass.) — Soft robotics has made leaps and bounds over the last decade as researchers around the world have experimented with different materials and designs to allow once rigid, jerky machines to bend and flex in ways that mimic and can interact more naturally with living organisms. However, increased flexibility and dexterity has a trade-off of reduced strength, as softer materials are generally not as strong or resilient as inflexible ones, which limits their use.

In a Silicon Valley office park, a startup is developing a system that could automate greenhouse farming and help feed the world.

This robot dog has deep learning capabilities which allow it to recognize faces, understand commands, and each unit can even develop its own “personality.”

Artificial intelligence could be the powerful tool we need to solve some of the biggest problems facing our world, argues Raia Hadsell. In this talk, she offers an insight into how she and her colleagues are developing robots with the capacity to learn. Their superhuman ability to play video games is just the start.

Raia Hadsell is a research scientist on the Deep Learning team at DeepMind. She moved to London to join DeepMind in early 2014, feeling that her fundamental research interests in robotics, neural networks, and real world learning systems were well-aligned with the agenda of Demis, Shane, Koray, and other members of the original team. Raia’s research at DeepMind focuses on a number of fundamental challenges in AGI, including continual and transfer learning, deep reinforcement learning, and neural models of navigation. Raia came to AI research obliquely. After an undergraduate degree in religion and philosophy from Reed College, she veered off-course (on-course?) and became a computer scientist. Raia’s PhD with Yann LeCun, at NYU, focused on machine learning using Siamese neural nets (often called a ‘triplet loss’ today) and on deep learning for mobile robots in the wild. Her thesis, ‘Learning Long-range vision for offroad robots’, was awarded the Outstanding Dissertation award in 2009.

Continue reading “Artificial Intelligence, Video Games and The Mysteries of the Mind” »

The international authorities overseeing the creation of a unified standard for 5G mobile technologies are expected to release the initial specifications next year and the final phase in 2019, paving the way for the commercial deployment of 5G services by mobile network operators from 2020.

China is one step closer to achieving the reality of seamless, super high speed communications that will enable driverless cars, virtual reality education and nationwide health care services after a partnership comprising China Mobile, Qualcomm and ZTE accelerated efforts to finalise technical standards for the next generation of smartphones.

With the world’s largest population and most number of internet users, China is making a huge bet that the wide roll-out of 5G mobile infrastructure by the country’s three main telecommunications network operators would support the country’s rapid digital transformation – enabling a raft of advanced applications and services that were the stuff of science fiction just decades ago.

Continue reading “A future of driverless cars, virtual reality and other advanced services beckon as China’s ZTE bets on massive 5G roll-out” »

Picture retrieved from @ADPoliceHQ/Twitter

Among the mind-boggling new targets envisioned by the Abu Dhabi Police are sending police officers to Mars on a UAE-built spaceship and setting up the first ever police centre on Mars, among the long-term goals.

Other targets include creating the first ever cadre of astronaut officers to police outer space; foresight future police who will work to prevent crimes; 3D-printed police patrol vehicles and even a police centre; robot cops that speak every language on earth; replacing 50 per cent of the police force with robots, and carrying out half of all policing and security decisions based on data mining and analysis.

Continue reading “Abu Dhabi Police to set up police centre on Mars” »

https://youtube.com/watch?v=hOTBtCz_l4A

Billionaire tech entrepreneur Mark Cuban has seen a ton of change since he first got in the technology business in 1982, but he argues that artificial intelligence (AI) is going to “change everything, 180 degrees.”

He warns that if the U.S. allows other countries to take the lead in AI, then it’ll be “SOL,” an acronym that employs profanity to communicate urgency.

Continue reading “If We Let China or Russia Win the Artificial Intelligence Race, We’re ‘SOL’ – Mark Cuban” »